Degradation Prediction of Proton Exchange Membrane Fuel Cell Based on Multi-Head Attention Neural Network and Transformer Model

Degradation Prediction of Proton Exchange Membrane Fuel Cell Based on Multi-Head Attention Neural Network and Transformer Model

Proton exchange membrane fuel cells are a clean energy technology with wide application in transportation and stationary energy systems. Due to the problem of voltage degradation under long-term dynamic loads, predicting their performance degradation trend is of great significance for extending the...

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Bibliographic Details
Main Authors: Yikai Tang, Xing Huang, Yanju Li, Haoran Ma, Kai Zhang, Ke Song
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
Subjects:
proton exchange membrane fuel cell
data-driven model
degradation prediction
multi-head attention
transformer model
Online Access:https://www.mdpi.com/1996-1073/18/12/3177
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